Life Expectancy in South Africa vs Thailand (1950-2026)

Life expectancy by current age

Chart Table

South Africa

Male

Female

Thailand

Male

Female

1x

Current age, years	Total life expectancy, years
	South Africa			Thailand
	Average	Male	Female	Average	Male	Female
100	103.4	103.1	103.5	102.9	102.7	103.1
99	102.5	102.3	102.6	102.1	101.8	102.2
98	101.7	101.5	101.7	101.2	101	101.4
97	100.8	100.7	100.9	100.4	100.2	100.5
96	100	99.9	100	99.7	99.5	99.8
95	99.2	99.1	99.2	98.9	98.7	99
94	98.4	98.3	98.4	98.2	97.9	98.3
93	97.6	97.5	97.7	97.4	97.2	97.6
92	96.9	96.7	96.9	96.7	96.5	96.9
91	96.1	96	96.2	96.1	95.7	96.2
90	95.4	95.2	95.5	95.4	95	95.6
89	94.7	94.4	94.8	94.7	94.3	95
88	94	93.7	94.1	94.1	93.7	94.3
87	93.3	92.9	93.4	93.5	93	93.8
86	92.6	92.2	92.7	92.9	92.4	93.2
85	91.9	91.5	92.1	92.3	91.8	92.7
84	91.3	90.8	91.5	91.8	91.1	92.2
83	90.6	90.1	90.9	91.2	90.6	91.7
82	90	89.4	90.3	90.7	90	91.2
81	89.4	88.7	89.7	90.2	89.4	90.8
80	88.8	88	89.1	89.8	88.9	90.4
79	88.1	87.4	88.5	89.3	88.4	90
78	87.5	86.7	88	88.9	87.9	89.6
77	86.9	86	87.4	88.5	87.4	89.3
76	86.3	85.3	86.9	88.1	86.9	89
75	85.7	84.7	86.4	87.7	86.5	88.7
74	85.2	84	85.9	87.4	86.1	88.4
73	84.6	83.4	85.4	87	85.7	88.1
72	84.1	82.8	84.9	86.7	85.3	87.9
71	83.6	82.2	84.5	86.4	84.9	87.6
70	83.1	81.7	84.1	86.1	84.5	87.4
69	82.6	81.1	83.6	85.8	84.1	87.2
68	82.1	80.5	83.2	85.5	83.8	87
67	81.6	80	82.8	85.2	83.4	86.8
66	81.2	79.4	82.4	85	83.1	86.6
65	80.7	78.9	82.1	84.8	82.8	86.5
64	80.3	78.4	81.7	84.5	82.5	86.3
63	79.9	77.9	81.4	84.3	82.2	86.1
62	79.4	77.4	81	84.1	82	86
61	79	76.9	80.7	83.8	81.7	85.8
60	78.7	76.5	80.4	83.6	81.4	85.7
59	78.3	76	80.1	83.4	81.1	85.5
58	77.9	75.6	79.8	83.2	80.9	85.4
57	77.5	75.2	79.5	83	80.6	85.2
56	77.2	74.8	79.2	82.8	80.3	85.1
55	76.9	74.4	78.9	82.6	80.1	85
54	76.5	74	78.7	82.4	79.9	84.8
53	76.2	73.6	78.4	82.2	79.6	84.7
52	75.9	73.3	78.2	82	79.4	84.6
51	75.6	72.9	77.9	81.9	79.1	84.4
50	75.3	72.6	77.7	81.7	78.9	84.3
49	75	72.2	77.4	81.5	78.7	84.2
48	74.7	71.9	77.2	81.3	78.5	84.1
47	74.4	71.6	77	81.2	78.2	84
46	74.2	71.3	76.7	81	78	83.9
45	73.9	71	76.5	80.8	77.8	83.8
44	73.6	70.7	76.3	80.7	77.6	83.7
43	73.4	70.4	76.1	80.5	77.4	83.6
42	73.1	70.2	75.8	80.4	77.2	83.5
41	72.9	69.9	75.6	80.2	77	83.5
40	72.6	69.7	75.4	80.1	76.8	83.4
39	72.4	69.4	75.2	80	76.6	83.3
38	72.2	69.2	75	79.8	76.4	83.2
37	72	68.9	74.8	79.7	76.3	83.2
36	71.8	68.7	74.6	79.6	76.1	83.1
35	71.6	68.5	74.5	79.5	76	83.1
34	71.4	68.3	74.3	79.4	75.9	83
33	71.2	68.1	74.1	79.3	75.8	82.9
32	71	67.9	73.9	79.3	75.6	82.9
31	70.8	67.7	73.8	79.2	75.5	82.9
30	70.6	67.5	73.6	79.1	75.4	82.8
29	70.4	67.3	73.5	79	75.3	82.8
28	70.3	67.1	73.3	79	75.2	82.7
27	70.1	66.9	73.2	78.9	75.1	82.7
26	70	66.8	73.1	78.8	75	82.7
25	69.9	66.6	73	78.7	74.9	82.6
24	69.7	66.5	72.9	78.7	74.8	82.6
23	69.6	66.3	72.8	78.6	74.7	82.6
22	69.5	66.2	72.7	78.5	74.7	82.5
21	69.4	66.1	72.6	78.5	74.6	82.5
20	69.3	66	72.6	78.4	74.5	82.5
19	69.2	65.9	72.5	78.3	74.3	82.4
18	69.2	65.8	72.4	78.3	74.2	82.4
17	69.1	65.7	72.4	78.2	74.1	82.3
16	69	65.7	72.3	78.1	74.1	82.3
15	69	65.6	72.3	78.1	74	82.3
14	68.9	65.6	72.3	78	73.9	82.3
13	68.9	65.5	72.2	78	73.9	82.2
12	68.9	65.5	72.2	78	73.9	82.2
11	68.9	65.5	72.2	77.9	73.8	82.2
10	68.8	65.4	72.2	77.9	73.8	82.2
9	68.8	65.4	72.1	77.9	73.8	82.1
8	68.8	65.4	72.1	77.9	73.8	82.1
7	68.8	65.4	72.1	77.9	73.7	82.1
6	68.7	65.3	72.1	77.8	73.7	82.1
5	68.7	65.3	72	77.8	73.7	82.1
4	68.6	65.2	72	77.8	73.7	82
3	68.5	65.1	71.9	77.7	73.6	82
2	68.4	64.9	71.8	77.7	73.6	82
1	68.1	64.7	71.5	77.7	73.5	81.9
0	66.7	63.1	70.2	77.1	72.9	81.4

Life expectancy is often mistaken for the average lifespan of an adult. However, an adult has already survived the causes of early-age mortality and can expect to live longer than the figure calculated at birth.

A 30-year-old in South Africa can expect to live to 70.6 years compared to 79.1 in Thailand, rising to 80.7 and 84.8 at 65, and to 88.8 and 89.8 at 80 — higher than the 66.7 and 77.1 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in South Africa and Thailand.

Probability of surviving to a given age

Chart Table

South Africa

Male

Female

Thailand

Male

Female

1x

Age	Survival probability
	South Africa			Thailand
	Average	Male	Female	Average	Male	Female
100	1.63%	1%	2.22%	3.38%	2.05%	4.79%
99	2.11%	1.28%	2.88%	4.53%	2.77%	6.38%
98	2.68%	1.62%	3.67%	5.9%	3.65%	8.27%
97	3.36%	2.02%	4.59%	7.52%	4.71%	10.5%
96	4.15%	2.5%	5.67%	9.37%	5.96%	13%
95	5.06%	3.06%	6.91%	11.5%	7.39%	15.7%
94	6.09%	3.7%	8.3%	13.8%	9.02%	18.7%
93	7.24%	4.43%	9.84%	16.3%	10.8%	21.9%
92	8.49%	5.25%	11.5%	19%	12.8%	25.4%
91	9.86%	6.16%	13.3%	21.8%	15%	29%
90	11.3%	7.18%	15.2%	24.8%	17.4%	32.7%
89	12.9%	8.29%	17.3%	28%	19.9%	36.4%
88	14.6%	9.51%	19.4%	31.1%	22.4%	40.2%
87	16.4%	10.8%	21.7%	34.3%	25.1%	43.9%
86	18.2%	12.2%	24%	37.5%	27.8%	47.6%
85	20.1%	13.7%	26.3%	40.6%	30.6%	51.1%
84	22.1%	15.2%	28.6%	43.7%	33.4%	54.5%
83	24%	16.8%	31%	46.7%	36.2%	57.6%
82	26%	18.5%	33.4%	49.6%	38.9%	60.7%
81	28.1%	20.2%	35.8%	52.4%	41.6%	63.5%
80	30.2%	22%	38.2%	55%	44.3%	66.1%
79	32.3%	23.9%	40.6%	57.5%	46.9%	68.6%
78	34.6%	25.9%	43%	59.9%	49.4%	70.8%
77	36.8%	28%	45.4%	62.2%	51.8%	72.9%
76	39%	30.1%	47.7%	64.3%	54.1%	74.8%
75	41.2%	32.3%	50%	66.2%	56.3%	76.5%
74	43.4%	34.4%	52.1%	68%	58.3%	78%
73	45.5%	36.6%	54.2%	69.7%	60.3%	79.4%
72	47.5%	38.7%	56.2%	71.3%	62.2%	80.7%
71	49.6%	40.8%	58.2%	72.9%	64%	81.9%
70	51.6%	42.9%	60%	74.3%	65.8%	83.1%
69	53.5%	45.1%	61.9%	75.6%	67.4%	84.1%
68	55.5%	47.2%	63.6%	76.9%	69%	85%
67	57.3%	49.3%	65.3%	78%	70.4%	85.8%
66	59.2%	51.4%	66.8%	79%	71.7%	86.6%
65	60.9%	53.4%	68.3%	80%	72.9%	87.3%
64	62.6%	55.4%	69.8%	81%	74.1%	87.9%
63	64.2%	57.3%	71.1%	81.9%	75.3%	88.6%
62	65.7%	59.1%	72.4%	82.7%	76.4%	89.1%
61	67.2%	60.9%	73.6%	83.5%	77.5%	89.7%
60	68.7%	62.6%	74.7%	84.3%	78.5%	90.3%
59	70%	64.3%	75.9%	85.1%	79.5%	90.8%
58	71.4%	65.9%	76.9%	85.8%	80.4%	91.3%
57	72.7%	67.5%	78%	86.5%	81.3%	91.7%
56	73.9%	69%	78.9%	87.1%	82.2%	92.2%
55	75.1%	70.5%	79.9%	87.7%	83%	92.6%
54	76.2%	71.9%	80.7%	88.3%	83.8%	93%
53	77.3%	73.2%	81.6%	88.9%	84.6%	93.4%
52	78.4%	74.5%	82.4%	89.5%	85.3%	93.8%
51	79.4%	75.7%	83.1%	90%	86.1%	94.1%
50	80.3%	76.9%	83.9%	90.5%	86.8%	94.4%
49	81.2%	78%	84.6%	91%	87.4%	94.7%
48	82.1%	79.1%	85.3%	91.5%	88.1%	95%
47	83%	80.1%	85.9%	91.9%	88.7%	95.3%
46	83.8%	81.1%	86.6%	92.4%	89.4%	95.6%
45	84.6%	82%	87.2%	92.8%	90%	95.8%
44	85.3%	82.9%	87.8%	93.2%	90.5%	96%
43	86%	83.7%	88.4%	93.6%	91.1%	96.2%
42	86.7%	84.5%	89%	94%	91.6%	96.4%
41	87.4%	85.3%	89.6%	94.3%	92.1%	96.6%
40	88.1%	86%	90.1%	94.7%	92.6%	96.8%
39	88.7%	86.7%	90.6%	95%	93.1%	97%
38	89.2%	87.4%	91.1%	95.2%	93.5%	97.1%
37	89.8%	88.1%	91.6%	95.5%	93.8%	97.2%
36	90.4%	88.7%	92%	95.7%	94.2%	97.4%
35	90.9%	89.3%	92.5%	96%	94.5%	97.5%
34	91.4%	89.9%	92.9%	96.2%	94.8%	97.6%
33	91.8%	90.4%	93.3%	96.3%	95.1%	97.7%
32	92.3%	91%	93.6%	96.5%	95.3%	97.8%
31	92.7%	91.5%	94%	96.7%	95.6%	97.9%
30	93.1%	91.9%	94.3%	96.8%	95.8%	97.9%
29	93.5%	92.4%	94.6%	97%	96%	98%
28	93.9%	92.8%	94.9%	97.1%	96.2%	98.1%
27	94.2%	93.2%	95.2%	97.3%	96.4%	98.2%
26	94.5%	93.6%	95.4%	97.4%	96.6%	98.2%
25	94.8%	94%	95.7%	97.5%	96.8%	98.3%
24	95.1%	94.3%	95.9%	97.6%	97%	98.3%
23	95.3%	94.6%	96%	97.7%	97.1%	98.4%
22	95.5%	94.9%	96.2%	97.9%	97.3%	98.5%
21	95.7%	95.1%	96.3%	98%	97.5%	98.5%
20	95.9%	95.4%	96.5%	98.1%	97.7%	98.6%
19	96.1%	95.6%	96.6%	98.2%	97.9%	98.6%
18	96.2%	95.7%	96.7%	98.4%	98.1%	98.7%
17	96.3%	95.9%	96.8%	98.5%	98.2%	98.7%
16	96.4%	96%	96.9%	98.6%	98.4%	98.8%
15	96.5%	96.1%	97%	98.6%	98.5%	98.8%
14	96.6%	96.2%	97%	98.7%	98.6%	98.9%
13	96.6%	96.2%	97.1%	98.8%	98.6%	98.9%
12	96.7%	96.3%	97.1%	98.8%	98.7%	98.9%
11	96.7%	96.3%	97.1%	98.8%	98.7%	99%
10	96.8%	96.4%	97.2%	98.9%	98.8%	99%
9	96.8%	96.4%	97.2%	98.9%	98.8%	99%
8	96.8%	96.5%	97.2%	98.9%	98.8%	99.1%
7	96.9%	96.5%	97.3%	99%	98.9%	99.1%
6	96.9%	96.6%	97.3%	99%	98.9%	99.1%
5	97%	96.7%	97.4%	99%	98.9%	99.1%
4	97.1%	96.8%	97.4%	99.1%	99%	99.2%
3	97.2%	96.9%	97.6%	99.1%	99%	99.2%
2	97.5%	97.2%	97.8%	99.2%	99.1%	99.3%
1	97.8%	97.6%	98.1%	99.2%	99.2%	99.3%

This chart shows the odds of living to each age from birth. 68.7% of newborns in South Africa and 84.3% in Thailand are expected to live past 60, 51.6% and 74.3% past 70, 30.2% and 55% past 80, and only 11.3% and 24.8% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

South Africa

Male

Female

Thailand

Male

Female

1x

Age	Probability of dying
	South Africa			Thailand
	Average	Male	Female	Average	Male	Female
100	23.6%	22.9%	23.9%	26.9%	27.5%	26.6%
99	22.5%	22%	22.8%	25.3%	26%	24.9%
98	21.3%	21%	21.5%	23.3%	24.2%	22.9%
97	20.2%	20%	20.2%	21.5%	22.5%	21%
96	19%	19.1%	19%	19.8%	20.9%	19.2%
95	18%	18.2%	17.9%	18.2%	19.4%	17.5%
94	16.9%	17.3%	16.8%	16.7%	18%	16%
93	15.9%	16.5%	15.6%	15.4%	16.8%	14.7%
92	14.8%	15.6%	14.5%	14.3%	15.7%	13.5%
91	13.8%	14.8%	13.5%	13.2%	14.6%	12.4%
90	13%	14.1%	12.6%	12.1%	13.5%	11.3%
89	12.3%	13.5%	11.8%	11.1%	12.5%	10.3%
88	11.5%	12.8%	11.1%	10.2%	11.5%	9.39%
87	10.8%	12.1%	10.3%	9.3%	10.6%	8.49%
86	10.1%	11.4%	9.6%	8.48%	9.79%	7.66%
85	9.43%	10.7%	8.88%	7.72%	9.03%	6.89%
84	8.78%	10%	8.21%	7.03%	8.32%	6.18%
83	8.21%	9.46%	7.62%	6.39%	7.67%	5.54%
82	7.71%	8.97%	7.1%	5.83%	7.08%	4.97%
81	7.3%	8.57%	6.66%	5.31%	6.53%	4.46%
80	6.96%	8.26%	6.28%	4.83%	6.02%	3.99%
79	6.67%	8%	5.94%	4.39%	5.53%	3.57%
78	6.37%	7.73%	5.61%	3.99%	5.07%	3.18%
77	6.06%	7.42%	5.26%	3.6%	4.64%	2.83%
76	5.71%	7.05%	4.89%	3.25%	4.23%	2.51%
75	5.35%	6.64%	4.53%	2.94%	3.86%	2.23%
74	4.98%	6.22%	4.17%	2.67%	3.54%	1.98%
73	4.64%	5.83%	3.85%	2.44%	3.27%	1.78%
72	4.34%	5.49%	3.57%	2.25%	3.04%	1.62%
71	4.09%	5.2%	3.33%	2.09%	2.84%	1.47%
70	3.87%	4.95%	3.12%	1.94%	2.66%	1.35%
69	3.67%	4.72%	2.92%	1.79%	2.47%	1.22%
68	3.48%	4.5%	2.74%	1.62%	2.26%	1.09%
67	3.28%	4.28%	2.55%	1.45%	2.03%	0.96%
66	3.08%	4.04%	2.37%	1.29%	1.82%	0.85%
65	2.88%	3.79%	2.19%	1.21%	1.7%	0.79%
64	2.68%	3.55%	2.03%	1.16%	1.62%	0.75%
63	2.5%	3.32%	1.88%	1.1%	1.54%	0.71%
62	2.34%	3.11%	1.75%	1.03%	1.45%	0.67%
61	2.2%	2.93%	1.65%	0.98%	1.37%	0.63%
60	2.08%	2.76%	1.55%	0.93%	1.3%	0.6%
59	1.98%	2.61%	1.47%	0.88%	1.23%	0.57%
58	1.88%	2.47%	1.39%	0.83%	1.17%	0.54%
57	1.78%	2.33%	1.32%	0.79%	1.11%	0.51%
56	1.68%	2.2%	1.24%	0.75%	1.05%	0.48%
55	1.58%	2.07%	1.16%	0.71%	1%	0.46%
54	1.49%	1.94%	1.09%	0.68%	0.95%	0.44%
53	1.4%	1.83%	1.02%	0.65%	0.91%	0.41%
52	1.32%	1.72%	0.96%	0.62%	0.88%	0.39%
51	1.25%	1.62%	0.91%	0.6%	0.84%	0.37%
50	1.19%	1.52%	0.87%	0.57%	0.81%	0.35%
49	1.13%	1.44%	0.84%	0.54%	0.78%	0.32%
48	1.08%	1.35%	0.8%	0.52%	0.74%	0.3%
47	1.03%	1.28%	0.78%	0.49%	0.72%	0.28%
46	0.98%	1.2%	0.75%	0.47%	0.69%	0.27%
45	0.93%	1.13%	0.73%	0.45%	0.67%	0.25%
44	0.88%	1.07%	0.7%	0.44%	0.64%	0.23%
43	0.84%	1.01%	0.68%	0.42%	0.62%	0.22%
42	0.8%	0.95%	0.65%	0.39%	0.59%	0.21%
41	0.76%	0.9%	0.63%	0.37%	0.55%	0.19%
40	0.73%	0.86%	0.6%	0.35%	0.52%	0.18%
39	0.69%	0.82%	0.57%	0.32%	0.48%	0.17%
38	0.66%	0.78%	0.54%	0.3%	0.44%	0.16%
37	0.63%	0.74%	0.51%	0.27%	0.4%	0.14%
36	0.6%	0.71%	0.49%	0.25%	0.36%	0.13%
35	0.57%	0.67%	0.46%	0.23%	0.33%	0.12%
34	0.54%	0.64%	0.44%	0.21%	0.3%	0.11%
33	0.51%	0.61%	0.42%	0.19%	0.28%	0.1%
32	0.49%	0.58%	0.4%	0.18%	0.26%	0.09%
31	0.46%	0.55%	0.38%	0.17%	0.25%	0.08%
30	0.44%	0.52%	0.36%	0.16%	0.24%	0.08%
29	0.41%	0.5%	0.33%	0.15%	0.23%	0.08%
28	0.39%	0.47%	0.31%	0.15%	0.22%	0.07%
27	0.36%	0.44%	0.28%	0.14%	0.21%	0.07%
26	0.33%	0.41%	0.25%	0.13%	0.2%	0.07%
25	0.3%	0.38%	0.23%	0.13%	0.19%	0.06%
24	0.28%	0.35%	0.2%	0.12%	0.18%	0.06%
23	0.25%	0.32%	0.18%	0.12%	0.18%	0.06%
22	0.23%	0.29%	0.17%	0.12%	0.18%	0.06%
21	0.21%	0.26%	0.15%	0.12%	0.19%	0.06%
20	0.19%	0.23%	0.14%	0.13%	0.19%	0.06%
19	0.16%	0.2%	0.13%	0.13%	0.2%	0.06%
18	0.14%	0.18%	0.11%	0.12%	0.19%	0.06%
17	0.12%	0.15%	0.1%	0.11%	0.17%	0.05%
16	0.11%	0.12%	0.09%	0.1%	0.14%	0.05%
15	0.09%	0.1%	0.07%	0.08%	0.11%	0.05%
14	0.07%	0.09%	0.06%	0.07%	0.09%	0.04%
13	0.06%	0.07%	0.05%	0.05%	0.07%	0.04%
12	0.05%	0.06%	0.04%	0.04%	0.05%	0.03%
11	0.04%	0.05%	0.04%	0.04%	0.05%	0.03%
10	0.04%	0.05%	0.03%	0.03%	0.04%	0.03%
9	0.04%	0.05%	0.03%	0.03%	0.04%	0.03%
8	0.04%	0.05%	0.03%	0.03%	0.04%	0.02%
7	0.04%	0.05%	0.04%	0.03%	0.04%	0.03%
6	0.05%	0.06%	0.04%	0.03%	0.04%	0.03%
5	0.07%	0.08%	0.06%	0.04%	0.04%	0.03%
4	0.1%	0.11%	0.08%	0.04%	0.04%	0.04%
3	0.15%	0.17%	0.12%	0.05%	0.05%	0.04%
2	0.22%	0.25%	0.2%	0.05%	0.05%	0.05%
1	0.35%	0.38%	0.32%	0.06%	0.06%	0.07%
0	2.19%	2.44%	1.93%	0.76%	0.84%	0.67%

This chart displays the probability of dying at any given age in South Africa compared to Thailand, as mortality rates vary throughout a lifetime.

The annual chance of dying is 2.19% in the birth year in South Africa and 0.76% in Thailand, 0.44% vs 0.16% at age 30, 2.08% vs 0.93% at 60, and 6.96% vs 4.83% at 80.

Death rate by age in South Africa vs Thailand

Chart Table

South Africa

Male

Female

Thailand

Male

Female

1x

Age	Death rate
	South Africa			Thailand
	Total	Male	Female	Total	Male	Female
100	359	204.6	501	906	530	1,303
99	475	280.8	655	1,143	719	1,589
98	572	340	787	1,374	882	1,890
97	677	406	928	1,615	1,060	2,196
96	789	478	1,077	1,855	1,247	2,491
95	909	558	1,236	2,082	1,435	2,757
94	1,031	642	1,393	2,298	1,626	2,999
93	1,148	729	1,540	2,505	1,819	3,222
92	1,257	818	1,670	2,704	2,011	3,427
91	1,363	912	1,794	2,878	2,190	3,596
90	1,476	1,014	1,924	3,009	2,344	3,702
89	1,585	1,118	2,045	3,107	2,476	3,762
88	1,686	1,220	2,150	3,171	2,586	3,775
87	1,775	1,315	2,238	3,193	2,668	3,731
86	1,845	1,397	2,299	3,180	2,726	3,642
85	1,897	1,467	2,335	3,139	2,763	3,517
84	1,937	1,530	2,353	3,072	2,778	3,364
83	1,972	1,591	2,363	2,986	2,775	3,193
82	2,008	1,656	2,371	2,888	2,755	3,014
81	2,052	1,732	2,383	2,779	2,719	2,829
80	2,102	1,819	2,399	2,658	2,666	2,639
79	2,156	1,914	2,411	2,529	2,595	2,448
78	2,202	2,006	2,410	2,389	2,506	2,253
77	2,228	2,080	2,386	2,240	2,402	2,060
76	2,228	2,126	2,335	2,090	2,289	1,874
75	2,204	2,144	2,262	1,946	2,174	1,701
74	2,161	2,141	2,176	1,815	2,067	1,548
73	2,112	2,132	2,089	1,702	1,973	1,416
72	2,066	2,123	2,008	1,605	1,892	1,304
71	2,028	2,121	1,936	1,520	1,820	1,207
70	1,997	2,124	1,871	1,439	1,748	1,117
69	1,966	2,128	1,807	1,352	1,664	1,027
68	1,929	2,124	1,740	1,249	1,556	929
67	1,882	2,108	1,667	1,133	1,427	826
66	1,822	2,074	1,585	1,023	1,302	734
65	1,752	2,025	1,500	967	1,237	687
64	1,679	1,965	1,415	937	1,204	663
63	1,606	1,901	1,337	897	1,156	630
62	1,540	1,839	1,269	852	1,105	595
61	1,482	1,782	1,211	818	1,065	569
60	1,431	1,730	1,162	782	1,023	541
59	1,384	1,679	1,116	747	979	514
58	1,339	1,629	1,072	716	941	490
57	1,292	1,575	1,026	686	904	468
56	1,242	1,519	978	656	867	446
55	1,190	1,459	929	627	829	425
54	1,137	1,397	881	601	797	405
53	1,085	1,337	835	580	773	386
52	1,037	1,279	795	559	751	367
51	994	1,223	760	537	727	347
50	954	1,171	731	515	702	327
49	918	1,120	707	494	678	307
48	883	1,071	686	474	656	288.2
47	850	1,022	668	455	636	270.1
46	818	974	652	438	617	253.3
45	786	928	635	422	600	238
44	755	884	619	406	582	224
43	724	842	601	389	561	211
42	695	804	581	370	537	198.9
41	667	770	560	350	509	187.4
40	639	738	538	329	477	175.9
39	613	708	515	307	444	164.3
38	587	680	492	283	409	152.4
37	562	653	470	259.7	375	140.2
36	538	626	449	237.3	342	128
35	515	600	429	216.6	313	116.5
34	493	575	410	198.7	288.3	106
33	471	551	392	183.9	267.9	96.9
32	450	527	374	172.3	252	89.3
31	429	504	355	163.2	239.6	83.1
30	408	481	335	155.8	229.6	78
29	386	458	314	149.3	220.5	73.8
28	363	434	291.3	142.7	210.9	70.1
27	339	410	266.7	136	200.7	66.8
26	314	384	241.5	129.3	190.3	63.8
25	289.1	358	217.1	123.1	181	61.3
24	264.7	331	195.1	118.6	174.6	59.2
23	241.4	304	176	116.8	172.5	57.8
22	219.2	276.6	159.6	117.6	175	57.1
21	198.1	249	145.6	120.7	181.2	57
20	177.8	221.4	133.1	124.3	188	57.1
19	158	194.2	121.2	125.9	191.1	56.9
18	138.5	167.7	108.8	122.2	184.7	56
17	119.5	142.6	96	112.5	167.5	54.1
16	101.4	119.6	82.9	97.5	141.4	50.9
15	85	99.4	70.2	80.9	113.1	46.8
14	70.7	82.4	58.8	65.5	87.5	42.1
13	58.9	68.7	49	53.1	67.8	37.5
12	49.7	58.1	41.1	43.9	53.9	33.2
11	43	50.5	35.3	37.4	44.7	29.7
10	38.7	45.8	31.6	33.3	39.2	27.1
9	37	43.9	30	31	36.2	25.4
8	37.9	45.2	30.6	29.9	34.8	24.6
7	42.2	50.2	34.1	30.1	34.9	25
6	51.2	60.6	41.7	31.6	36.3	26.6
5	67.2	79	55.4	34.7	39.1	30
4	95.3	110.3	80	39.3	43.1	35.2
3	141.9	161.3	121.7	45.5	48.1	42.6
2	218.6	243.8	192.5	53.4	54.3	52.5
1	343	375	310	63.5	61.6	65.5
0	2,192	2,441	1,934	761	845	672

This chart shows the number of deaths by age up to 100 for 3 cohorts of 100,000 newborns each — male, female, and both combined — illustrating how expected mortality is distributed throughout life.

In South Africa, the most common age of death is 77, compared to 87 in Thailand. The median age of death is 70.8 in South Africa and 81.8 in Thailand, meaning only half of each cohort is expected to live past that age.

Note that this chart does not show rates per 100,000 population, as those would be skewed by age structure differences and reflect the demographics of South Africa and Thailand more than their death rates.

Life expectancy in other countries

+ -

1x